Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Mohammad A. Khaleel"'
Publikováno v:
Data in Brief, Vol 40, Iss , Pp 107701- (2022)
A drug dataset containing international proprietary names is essential for researchers investigating different drugs from different countries worldwide. However, many websites on the internet offer free access for a single drug searching service to i
Externí odkaz:
https://doaj.org/article/ae6c384bf1dc4b2b8b5ef28cb3c89f19
Autor:
Mohammed A. S. Abourehab, Ahmed Khames, Samar Genedy, Shahin Mostafa, Mohammad A. Khaleel, Mahmoud M. Omar, Amani M. El Sisi
Publikováno v:
Pharmaceutics, Vol 13, Iss 4, p 581 (2021)
Nicergoline (NIC) is a semisynthetic ergot alkaloid derivative applied for treatment of dementia and other cerebrovascular disorders. The efficacy of sesame oil to slow and reverse the symptoms of neurodegenerative cognitive disorders has been proven
Externí odkaz:
https://doaj.org/article/5458e83200bb4b7e90be541a3eea96a0
Efficient ECC Processor Designs for IoT Using Edwards Curves and Exploiting FPGA Embedded Components
Publikováno v:
IEEE Access, Vol 12, Pp 167183-167200 (2024)
Elliptic Curve Cryptography (ECC) provides high security with shorter key sizes and higher performance. Internet of Things (IoT) is the interconnected network where a vast number of connected devices require high security to ensure data integrity and
Externí odkaz:
https://doaj.org/article/c6c60468d2a641a8863e0415140b5b59
Autor:
Mohammad Al-Khaleel, Aissa Abderrahmane, Obai Younis, Wasim Jamshed, Kamel Guedri, Rabia Safdar, Sayed M. Tag
Publikováno v:
Results in Physics, Vol 57, Iss , Pp 107384- (2024)
Externí odkaz:
https://doaj.org/article/9a61e5b9b6fb46f690ab24e2f8adfecf
Autor:
Mohammad Al-Khaleel, Aissa Abderrahmane, Obai Younis, Wasim Jamshed, Kamel Guedri, Rabia Safdar, Sayed M Tag
Publikováno v:
Results in Physics, Vol 56, Iss , Pp 107232- (2024)
This paper presents a Galerkin finite element-based study investigating the magnetohydrodynamic (MHD) mixed convective behavior of Ostwald-de Waele nanofluids in a lid-driven wavy chamber. The study addresses a critical aspect of heat transfer with a
Externí odkaz:
https://doaj.org/article/4927e43f447043889e881ed5965e0fbf
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 8, Iss , Pp 100559- (2023)
The focus of this study is to establish the existence and uniqueness of solutions for differential and integral equations within specific metric spaces. Our investigation begins by introducing the concept of the so-called cone Eb-metric space and pre
Externí odkaz:
https://doaj.org/article/0f2f36a3a6a7482f9bf8a70ea78b0e8d
Autor:
Abdelsalam Al Share, Fadi Nessir Zghoul, Osama Al-Khaleel, Mohammad Al-Khaleel, Chris Papachristou
Publikováno v:
IEEE Access, Vol 11, Pp 141628-141639 (2023)
Decimal arithmetic gains its importance in different applications in the fields of finance and scientific applications. The approach of running decimal arithmetic over binary hardware requires conversions from decimal to binary and from binary to dec
Externí odkaz:
https://doaj.org/article/80023cc24cf540bdb271a80140bec041
Publikováno v:
IEEE Access, Vol 11, Pp 34698-34708 (2023)
In this paper, we present methods for identifying an image from a given set of Radon projections. Given a suitably regular 2-D or 3-D function, we form a new function $g$ from $f$ using a linear transformation. We show how the Radon projections of $f
Externí odkaz:
https://doaj.org/article/89b827a4a1d145dd8d6495a02790f09c
Publikováno v:
Journal of Universal Computer Science, Vol 28, Iss 10, Pp 1030-1057 (2022)
Multiplication is considered one of the most time-consuming and a key operation in wide variety of embedded applications. Speeding up this operation has a significant impact on the overall performance of these applications. A vast number of multiplic
Externí odkaz:
https://doaj.org/article/bf5a0ec89b444d4eb1cb1b1edd5251e6
Autor:
Khalid Mohiuddin, Huda Fatima, Mohiuddin Ali Khan, Mohammad Abdul Khaleel, Zeenat Begum, Sajid Ali Khan, Omer Bin Hussain
Publikováno v:
SAGE Open, Vol 13 (2023)
This article aims to design a novel edge-centric hierarchical cloud architecture to optimize mobile learning (m-learning) performance during learners executing computation-intensive learning applications. This research adopts the potential of distrib
Externí odkaz:
https://doaj.org/article/d0171e5b5d9f492cb8c23bd75f587302